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DTSTART;TZID=America/Chicago:20251116T154500
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UID:submissions.supercomputing.org_SC25_sess204_ws_ss105@linklings.com
SUMMARY:Optimizing Microgrid Composition for Sustainable Data Centers
DESCRIPTION:Julius Irion, Philipp Wiesner, Jonathan Bader, and Odej Kao (T
 U Berlin)\n\nAs computing energy demand continues to grow and electrical g
 rid infrastructure struggles to keep pace, an increasing number of data ce
 nters are being planned with colocated microgrids that integrate on-site r
 enewable generation and energy storage. However, while existing research h
 as examined the tradeoffs between operational and embodied carbon emission
 s in the context of renewable energy certificates, there is a lack of tool
 s to assess how the sizing and composition of microgrid components affects
  long-term sustainability and power reliability.\n\nIn this paper, we pres
 ent a novel optimization framework that extends the computing and energy s
 ystem co-simulator Vessim with detailed renewable energy generation models
 . Our framework simulates the interaction between computing workloads, on-
 site renewable production, and energy storage, capturing both operational 
 and embodied emissions. We use a multi-horizon black-box optimization to e
 xplore efficient microgrid compositions and enable operators to make more 
 informed decisions when planning energy systems for data centers.\n\nRecor
 ding: Livestreamed, Recorded\n\nRegistration Category: Technical Program R
 eg Pass, Workshop Reg Pass\n\nSession Chairs: Mike Woodacre (Hewlett Packa
 rd Enterprise (HPE)); Michèle Weiland (EPCC, The University of Edinburgh; 
 The University of Edinburgh); Fumiyoshi Shoji (RIKEN Center for Computatio
 nal Science (R-CCS), Center for Computational Science); Pekka Manninen (CS
 C - IT Center for Science; University of Helsinki, Finland); James H. Roge
 rs (Oak Ridge National Laboratory (ORNL)); and Cate Berard (US Department 
 of Energy)\n\n
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